To improve performance, users can impose an inductive bias [1]} to restrict the hypothesis spaceAll machine learning approaches need an inductive bias, i.e. bias-free learning is futile [1]}..
For instance, if told that tail is irreflexive, some systems [3]} will remove rules with the literal tail(A,A) from the rule space, such as r1 and r4.
As removing a rule removes all hypotheses that contain it, strong biases can greatly reduce the hypothesis space.
